How to Analyze the Overall Performance of a Student: Strong or Weak

Recent advancements in Natural Language Processing (NLP) techniques, especially in the educational domain, have increased to address the needs of teachers, students, parents, educators, and general authors for providing assistance. The assistance can be measured in terms of performance analysis for evaluating and guiding students for their career perspectives. So, in the present work, we have prepared an annotated dataset which helps to design an automated performance analysis system in the presence of two well-known machine learning classifiers namely Naïve Bayes and Logistic Regression. The system is able to recognize five different classes of subjects like soft skills, quantitative and logical ability, programming skills, domain knowledge, and advanced knowledge and overall performance of a student in the form of strength and weakness.